Hello all,
Is it possible to get the VC dimension (Vapnik–Chervonenkis dimension) of
the supervised classifiers of sklearn ? Do someone know how or if it is
actually possible to add this utility to sklearn ?
The VC dimension is a pretty important utility, since it can predict an
upper bound on the test error of a classification model (without doing the
test ...).
http://en.wikipedia.org/wiki/VC_dimension
Best,
ShNaYkHs.
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